Job
Description
About PGAGI: At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet. Position Overview: PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Intern with around 3-6 months of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring. Key Responsibilities: AI Model Deployment & Integration Assist in containerizing and deploying AI/ML models into production using Docker. Support integration of models into existing systems and APIs. Infrastructure Management Help manage cloud and on-premise environments to ensure scalability and consistency. Work with Kubernetes for orchestration and environment scaling. CI/CD Pipeline Automation Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins). Implement basic automated testing and rollback mechanisms. Hosting & Web Environment Management Assist in managing hosting platforms, web servers, and CDN configurations. Support DNS, load balancer setups, and ensure high availability of web services. Monitoring, Logging & Optimization Set up and maintain monitoring/logging tools like Prometheus and Grafana. Participate in troubleshooting and resolving performance bottlenecks. Security & Compliance Apply basic DevSecOps practices including security scans and access control implementations. Follow security and compliance checklists under supervision. Cost & Resource Management Monitor resource usage and suggest cost optimization strategies in cloud environments. Documentation Maintain accurate documentation for deployment processes and incident responses. Continuous Learning & Innovation Suggest improvements to workflows and tools. Stay updated with the latest DevOps and AI infrastructure trends. Requirements : Around 6 months of experience in a DevOps or related technical role (internship or professional). Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins. Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana). Exposure to scripting languages (e.g., Bash, Python) is a plus. Strong problem-solving skills and eagerness to learn. Good communication and documentation abilities. Compensation Joining Bonus: INR 2,500 one-time bonus upon joining. Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations. Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork. Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions. Ready to kick-start your DevOps journey in a dynamic AI-driven environment? Apply now #Devops #Docker #Kubernetes #DevOpsIntern
